intansv: an R package for integrative analysis of structural variations

PeerJ

article

Lihua Jia¹  Na Liu¹  Fangfang Huang¹  Zhengfu Zhou³  Xin He¹  Haoran Li¹  Zhizhan Wang¹  Wen Yao¹ 

[1] National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University;National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University;Wheat Research Institute, Henan Academy of Agricultural Sciences;National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research ,(Wuhan), Huazhong Agricultural University

关键词: Structural variation;    Integrative analysis;    R package;    Next-generation sequencing;    Visualization;    Genome variation;   

DOI  :  10.7717/peerj.8867

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Identification of structural variations between individuals is very important for the understanding of phenotype variations and diseases. Despite the existence of dozens of programs for prediction of structural variations, none of them is the golden standard in this field and the results of multiple programs were usually integrated to get more reliable predictions. Annotation and visualization of structural variations are important for the understanding of their functions. However, no program provides these functions currently as far as we are concerned. We report an R package, intansv, which can integrate the predictions of multiple programs as well as annotate and visualize structural variations. The source code and the help manual of intansv is freely available at https://github.com/venyao/intansv and http://www.bioconductor.org/packages/devel/bioc/html/intansv.html.

【 授权许可】

CC BY